Comprehensive Inpatient Treatment of Refractory Chronic Daily Headache
Bibliographic record
Abstract
OBJECTIVE: (1) To assess outcome at discharge for a consecutive series of admissions to a comprehensive, multidisciplinary inpatient headache unit; (2) To identify outcome predictors. BACKGROUND: An evidence-based assessment (2004) concluded that many refractory headache patients appear to benefit from inpatient treatment, underscoring the need for more research, including outcome predictors. METHODS: The authors completed a retrospective chart review of 283 consecutive admissions over 6 months. The inpatient program (mean length of stay = 13.0 days) included intravenous and oral medication protocols, drug withdrawal when indicated, cognitive-behavior therapy, and other services when needed, including anesthesiological intervention. Patient-reported pain levels and consensus of medical staff determined outcome status. RESULTS: The 267 completers (94%) included 212 women and 55 men (mean age = 40.3 years, range = 13-74) from 43 states and Canada. The modal diagnosis was intractable, chronic daily headache (85%), predominantly migraine. Most (59%) had medication overuse headache (MOH), involving opioids (48%), triptans (16%), or butalbital-containing analgesics (10%). Psychiatric diagnoses included stress-related headache (82%), mood disorders (70%), anxiety disorders (49%), and personality disorders (PD, 26%). More patients with a PD (62%) had opioid-related MOH than those with no PD (38%), P < .005. Of the completers, 78% had moderate to significant pain reduction, with comparable improvement in mood, function, and behavior. Clinical factors predicting moderate-significant headache improvement were limited to MOH (84% vs 69%, P < .007) and presence of a PD (68% vs 81%, P < .03). CONCLUSIONS: Most patients (78%) improved following aggressive, comprehensive inpatient treatment. Maintenance of improvement is likely to depend on multiple post-discharge factors, including continuity of care, compliance, and home or work environment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".